🍻 cheers
Browse files- README.md +6 -5
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May22_15-14-12_706557cbf509/events.out.tfevents.1716398895.706557cbf509.34.3 +3 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
README.md
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license: apache-2.0
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base_model: google/vit-base-patch16-384
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name:
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Action_model_ViT_384
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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license: apache-2.0
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base_model: google/vit-base-patch16-384
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tags:
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- image-classification
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- generated_from_trainer
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datasets:
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- imagefolder
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name: Image Classification
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type: image-classification
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dataset:
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name: action_class
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type: imagefolder
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config: default
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split: train
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8611599297012302
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Action_model_ViT_384
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on the action_class dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4520
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- Accuracy: 0.8612
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## Model description
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all_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 0.8611599297012302,
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"eval_loss": 0.4519657492637634,
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"eval_runtime": 17.123,
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"eval_samples_per_second": 33.23,
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"eval_steps_per_second": 4.205,
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"total_flos": 1.9598089091159163e+19,
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"train_loss": 0.2734005047119598,
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"train_runtime": 8010.8383,
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"train_samples_per_second": 10.705,
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"train_steps_per_second": 1.338
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}
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eval_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 0.8611599297012302,
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"eval_loss": 0.4519657492637634,
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"eval_runtime": 17.123,
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"eval_samples_per_second": 33.23,
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"eval_steps_per_second": 4.205
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}
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runs/May22_15-14-12_706557cbf509/events.out.tfevents.1716398895.706557cbf509.34.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:89db136ef37388766f03c07efff41a016f4993f5aa1c68ca3bca592b62555e52
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size 411
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train_results.json
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{
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"epoch": 20.0,
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"total_flos": 1.9598089091159163e+19,
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"train_loss": 0.2734005047119598,
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"train_runtime": 8010.8383,
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"train_samples_per_second": 10.705,
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"train_steps_per_second": 1.338
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}
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trainer_state.json
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